Warping and morphing of graphical objects
Warping and morphing of graphical objects
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
K-means based fingerprint segmentation with sensor interoperability
EURASIP Journal on Advances in Signal Processing
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The purpose of this paper is the development of a compensation algorithm by which the interoperability of fingerprint recognition can be improved among various different fingerprint sensors. In order to compensate for the different characteristics of fingerprint sensors, an initial evaluation of the sensors using both the ink-stamped method and the flat artificial finger pattern method was undertaken. Then the resulted image resolution was incorporated to the compensation algorithms. This paper proposes Common resolution method and Relative resolution method for compensating different resolutions of fingerprint images captured by disparate sensors. Both methods can be applied to image-level and minutia-level. This paper shows the results of the minutiaelevel compensation. The Minutiae format adhered to the standard format established by ISO/IEC JTC1/SC37. In order to compensate the direction of minutiae in minutia-level, Unit vector method is proposed. The fingerprint database used in the performance evaluation is part of KFRIA-DB (Korea Fingerprint Recognition Interoperability Alliance Database) collected by the authors and supported by KFRIA. Before compensation, the average EER was 8.62% and improved to 5.37% by the relative resolution compensation and to 6.37% by the common resolution compensation. This paper will make a significant contribution to interoperability in the system integration using different sensors.